How does Mirror World discover Alpha with the help of AI Asset Agents (AAA)?
Life feeds on negative entropy.AI Living by reducing entropy.
The Birth of World Store: Fighting Crypto’s Entropy with AI Asset Agents (AAA)
currentBlockchainThe development of is rapidly moving towards a stage of increasing entropy. The emergence of various Layer1/Layer2 ecosystems is accompanied by the growth of different types of assets across different ecosystems, as well as various types of smartcontractand the birth of the agreement, which is for the wholeBlockchainThe system has brought extremely high complexity. And in this process, these basic complexities have further brought high operational thresholds for end users: cross-chain asset settlement and purchase, finding and discovering high-quality assets distributed in different ecosystems, deposits from fiat currency to Crypto, etc. What we can see is that the essence of all these problems points to these keywords "disorder, chaos and high complexity".
Generated By DALLE
这就为我们提供了一个非常有趣的视角，即从热力学以及系统熵增的角度来看待整个Blockchain系统。当然，这在科学的解释上并不严格准确，但不可否认的多了一个视角来重新理解当前区块链的发展。
We all know that in an isolated system/closed system, entropy will always increase, that is, it will go from order to disorder. As mentioned above, the blockchain system we have observed is also experiencing such a state. Currently, there are no consumer-level applications, and no more external system users are entering. Such a system will become more isolated and eventually lead to the ending we all know, "heat death".
Therefore, in order to introduce more "external system" users to combat entropy increase, existing participants in the system have also proposed and developed various tools and services to reduce the complexity of user operations, thereby lowering the entry threshold to this industry. However, it must be admitted that the emergence of these single tools has further led to the isolation of various ecosystems, and brought users the cost of screening massive amounts of information and the high cost of switching between products.
Since the amount of information and overall complexity in an emerging ecosystem is very high, but existing tools do not have the function of reducing the signal-to-noise ratio, even if users target an ecosystem, they often "miss out" and fail to capture the most direct value. For example, users in an ecosystem with many EVMs or in a non-EVM ecosystem will still miss some assets that match their interests or investment preferences but have not yet been paid attention to. Or in order to execute a key transaction, users spend too much time in the process of selecting the optimal route, resulting in missing some optimal trading times.
There are actually simpler solutions to the above problems. As AI Agent develops and matures, its greatest role is to help users deal with dimensionality reduction under massive amounts of information, find the best solution, and help users capture the most core value. The existence of AI itself brings rational order to a chaotic system and reduces entropy for the system.
Mirror World is deeply aware of the necessity of this path. By creating AI Asset Agents, it discovers high-quality assets around the core goals and interests of users, and realizes the optimal routing selection based on AI Asset Agents according to the user's on-chain behavior data, thereby reducing the user's purchase and transaction costs. AAA makes personalized optimal recommendations from a large number of asset categories, and helps users process any currency, any asset, and settlement in any ecosystem.
The above conclusions and visions are the summaries we have drawn after deep thinking during the past two years of actually participating in the process of "asset distribution" and "asset settlement". They also gave birth to Mirror World's new product, World Store, which will be launched on December 18.
1/ The logical brain of World Store: AI Asset Agents (AAA)
As mentioned above, the birth of World Store is a direct response to the above problems. World Store will combine the capabilities of AI Asset Agents to effectively solve the information overload and transaction complexity problems faced by users, and provide a more intuitive and efficient asset issuance and trading experience.
Token Deposit Center
NFT Deposit Center
In the World Store, users can find various assets recommended based on their interests and preferences, and can purchase and settle the assets with the fiat currency or Crypto payment methods they are familiar with.
Recommended assets based on the user’s on-chain assets and interactions
As the logical brain of World Store, AI Asset Agents will use natural language processing (NLP) and machine learning to understand users' needs and preferences, and recommend relevant assets and digital content based on their on-chain interaction records and asset holding information. At the same time, on this basis, combined with LLMs, we will further build and enrich the implementation of the recommendation system to achieve specific effects that traditional recommendation systems cannot quickly achieve.
TALLRec Framework
Compared with traditional recommendation algorithms, LLMs contain rich knowledge mined from large-scale web corpora, which enables them to supplement the user behavior data that traditional recommendation systems rely on. Traditional algorithms mainly rely on user behavior data for recommendations, while LLMs can combine world knowledge and user interaction data for more comprehensive recommendations. Secondly, LLMs can adapt to new domains with zero or only a small number of examples, which enables them to be used in limited task-specific data (such aswalletWhile traditional algorithms usually require a large amount of domain-specific data for recommendations.
In addition, LLMs can be used for a variety of recommendation tasks, such as sequential recommendation, rating prediction, explanation generation, etc., to achieve a unified recommendation framework, while traditional algorithms usually need to build different models for different tasks. In addition, LLMs have interactivity and feedback mechanisms, which can improve user experience and enhance the interpretability of the model. AI Asset Agents can gain a deeper understanding of user needs through conversational interactions and even continuously adjust recommendation strategies during interactions. Users can make specific requests or feedback through conversations, and AI Asset Agents optimize recommendation results based on this information.
User ProfileXiaobai Navigatione Generated with AI Asset Agents (AAA)
AI Asset Agents can continuously learn from user interactions through machine learning to improve their recommendation algorithms. This means that over time, the recommendation system becomes more and more adapted to the user’s personal preferences.
2/ World Store’s execution engine: AI asset settlement center
In terms of asset trading and settlement execution, World Store provides users with a unified payment and settlement center: World Store by integrating different deposit payment service providers, cross-chain service providers and DEX. All user operations related to payment and asset settlement can be completed in one stop in World Store, and during the operation process, AI Asset Agents will recommend the best execution route based on the user's choice, thereby reducing the complexity of user interaction and the execution cost during the transaction process.
Currently, World Store can support more than 150 countries, more than 50 different local payment methods and more than 10 different mainstream blockchain networks for fiat currency deposits, and has integrated 23 blockchains, 15 Bridges and 28 DEXs to support users to exchange any token on any network.
Global Asset Checkout
让我们设想这样的一种场景：游戏 NFT 部署在 Polygon 上，而作为玩家，虽然在 Polygon 的网络环境下通过钱包进行了游戏登陆，但由于 Token 布在其他的区块链网络当中，就导致其在实际游戏的体验过程当中，由于跨链等操作复杂性的问题，没办法在应用内对该游戏资产进行直接的购买。但是，可以预见的是，在集成了 World Store 之后，用户或玩家便可轻松的用自己在任意网络下的资产进行该游戏商品的购买与结算。
In addition, as users use the World Store, their interaction data will be further fed into AI Asset Agents to improve the quality of the algorithm's recommendations. As a reward for user asset interaction and algorithm training, we have launched the Points System to provide user-side incentives.
In addition to being able to experience all of the above functions directly in the asset purchase process of the World Store, Mirror World will also provide open API and Widget integration services to all application developers, and is committed to helping more application project parties solve problems such as complex asset settlement and commercialization difficulties.
Get Supported List of Fiat
3/ World Store Reward Center: Points System
As mentioned above, in order to further support users’ trading behaviors and provide data training behaviors for algorithms, we will also provide corresponding incentives for all users participating in product interactions to encourage their asset interaction behaviors, so we launched the Points System.
Raffle Tickets can be redeemed for Lucky Draw when World Store 12.18 is released
In the design of the Points System, users can obtain potential rewards by trading assets through the World Store. Similar to the credit card point mechanism, every time a user purchases or redeems a corresponding asset, he or she can obtain corresponding point rewards.
The points will serve as an important basis for judging user activity, participation and contribution in the subsequent operation of Mirror World, and will be used in a series of future product releases, Tokenomics design andCommunityDuring the airdrop process, corresponding rights and rewards will be directly distributed.
write at the end
The combination of World Store and AI Asset Agents aims to bring a new interactive experience to more users, lower the interaction threshold of blockchain assets, improve the use of assets and the discovery of high-quality assets, and finally bring entropy reduction to the entire blockchain system.
With the development and maturity of LLMs and blockchain, we are inevitably entering the train of technological acceleration, and this crazy accelerating train will lead everyone to discover Alpha in the upcoming crypto bull market.
2023.12.18, World Store Alpha Version will be released soon, looking forward to meeting you:
https://worldstore.mirrorworld.fun
The article comes from the Internet:How does Mirror World discover Alpha with the help of AI Asset Agents (AAA)?
As of October 2023, more than 70 banks around the world have participated in exploring crypto business. Written by: OKLink Research Institute Foreword Against the backdrop of a global economic slowdown and a polarized economic landscape, the banking industry faces new challenges. Higher deposit costs, lower policy rates, and somewhat limited lending potential are undermining the strong net income that banks have long relied on…
相关文章
